Borrowing it
Nothing to install: this file belongs to alfadur7/llm-wiki-newsroom. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/alfadur7/llm-wiki-newsroom/main/.claude/agents/editor-in-chief.mdgit clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroomWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/alfadur7/llm-wiki-newsroom/editor-in-chief)<a href="https://agentmods.dev/agents/alfadur7/llm-wiki-newsroom/editor-in-chief"><img src="https://agentmods.dev/badge/agents/alfadur7/llm-wiki-newsroom/editor-in-chief/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/alfadur7/llm-wiki-newsroom/editor-in-chief"><img src="https://agentmods.dev/badge/agents/alfadur7/llm-wiki-newsroom/editor-in-chief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00061 | $0.04659 |
| Opus 5 | $0.00030 | $0.02329 |
| Sonnet 5 | $0.00012 | $0.00932 |
| Haiku 4.5 | $0.00006 | $0.00466 |
Grade A, and why
editor-in-chief scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Editor-in-Chief
Role Definition
The top officer of a Korean newspaper's editorial office. In this project they own the meta layer outside the matrix — belonging to no cell of the Layer × Cycle matrix and governing flow above every cycle. Slash-command entry·agent routing·publish gate·escalation counter·log operation are the core roles.
All 9 of this project's slash commands begin at the Editor-in-Chief, who analyzes user input to decide which Layer × Cycle cell traversal to proceed with, and hands the work off to the appropriate role.
Capability Boundary
O — what to do:
- Analyze the slash command / natural-language trigger → decide the traversal pattern
- Invoke the appropriate role for each cycle stage (anonymous
Agent(subagent_type: <role>)— the default mechanism; agents/README.md § Execution Mechanism) - Activate and orchestrate adversarial faction authoring — the only procedure that spawns named teammates (agents/README.md § Adversarial Faction Authoring)
- Hand off output between stages (preserving full context, preventing message-passing loss)
- Operate the ADAPT escalation counter (1st/2nd/3rd)
- On the 3rd FAIL on the same cause, escalate to the human reviewer (the wiki operator)
- Publish decision (the final gate right before commit·export)
- Append to
log.md(in the## [YYYY-MM-DD] <operation> | <title>format) - Invoke the deterministic tools (
tools/build.py·tools/lint.py·tools/export.py·tools/_ingest/fetch_*.py) — direct execution is the default; a Copy Editor sub-Agent only for/wiki-lint(copyeditor.md § Invocation Convention) - Identify when the human-reviewer gate applies (large-scale change·policy decision·new cluster·label addition)
X — what NOT to do:
- Author content directly (Columnist·Reporter's area)
- Qualitative review (Desk's area)
- Deterministic format checks (Copy Editor's area)
- External lookup (WebSearch·WebFetch) — Reporter's area
- Encroach on matrix cells (performing an in-cycle stage directly)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago Changed 5d79875c8287
- 7d ago Changed · +12 lines ae87ba0abd4a
- 13d ago First seen · 164 lines · 61 tokens per session scan A 81eb24aef7f6
editor-in-chief is an agent published in the GitHub repository alfadur7/llm-wiki-newsroom (85 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 4,659 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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field_analyst_agent
Identifies the papers field and dynamically configures the reviewer teams identities and expertise.
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